Posted 2 years ago by Jing Nghik
18 views

Microsoft invests in next-gen security to protect from malicious downloads and targeted threats by consolidating data and building systems that learn from data. These machine learning (ML) systems flag and surface threats that may go unnoticed. By augmenting human analysis, ML drives an antimalware evolution with SmartScreen and Windows Defender Antivirus, providing real-time detection of unknown, polymorphic malware. ML enhances how Windows Defender Advanced Threat Protection (ATP) catches advanced attacks, like apex attacker activities residing in memory or camouflaged as events from tools and apps. We explore ML methods that transform Windows Defender ATP for preventing attacks on customers and detecting post breach activity.

Goto Youtube Video

You may also like

Posted 9 months ago by Jing Nghik
In less than 2 minutes we demonstrate the Dynoroot Vulnerability [...]
17 views
Posted 12 months ago by Jing Nghik
Windows Defender ATP is a unified endpoint security platform that [...]
4 views
Posted 1 year ago by Jing Nghik
Watch as we cover how to use components of Windows Defender ATP to [...]
2 views
Posted 1 year ago by Jing Nghik
This video demonstrates how Microsoft 365 Advanced Threat Protection [...]
2 views
Posted 1 year ago by Jing Nghik
See how Windows Defender ATP automated investigation and response [...]
3 views
Posted 1 year ago by Jing Nghik
This video shows how the machine risk level constantly evaluated by [...]
2 views
Posted 1 year ago by Jing Nghik
Learn how Windows Secure Score helps organizations stay more secure, [...]
6 views
53:15
Posted 2 years ago by Jing Nghik
Come and see how Microsoft IT uses Windows Defender Advanced Threat [...]
6 views